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  1. Article

    Open Access

    Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

    Science teams for rover-based planetary exploration missions like the Mars Science Laboratory Curiosity rover have limited time for analyzing new data before making decisions about follow-up observations. Ther...

    Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue… in Data Mining and Knowledge Discovery (2020)

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  2. No Access

    Article

    Visualizing image content to explain novel image discovery

    The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers that deviate from those trends...

    Jake H. Lee, Kiri L. Wagstaff in Data Mining and Knowledge Discovery (2020)

  3. No Access

    Article

    Progressive refinement for support vector machines

    Support vector machines (SVMs) have good accuracy and generalization properties, but they tend to be slow to classify new examples. In contrast to previous work that aims to reduce the time required to fully c...

    Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni… in Data Mining and Knowledge Discovery (2010)

  4. Chapter and Conference Paper

    Measuring Constraint-Set Utility for Partitional Clustering Algorithms

    Clustering with constraints is an active area of machine learning and data mining research. Previous empirical work has convincingly shown that adding constraints to clustering improves performance, with respe...

    Ian Davidson, Kiri L. Wagstaff, Sugato Basu in Knowledge Discovery in Databases: PKDD 2006 (2006)

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  5. No Access

    Chapter and Conference Paper

    Active Constrained Clustering by Examining Spectral Eigenvectors

    This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examining Spectral eigenvectorS (ACCESS) deriv...

    Qianjun Xu, Marie desJardins, Kiri L. Wagstaff in Discovery Science (2005)